Remote opportunity at
HudlEngineering Manager - Machine Learning
Hudl seeks an Engineering Manager for its Applied Machine Learning team to oversee squads focused on American football and ice hockey. The company develops video capture,…
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About This Role
Hudl seeks an Engineering Manager for its Applied Machine Learning team to oversee squads focused on American football and ice hockey. The company develops video capture, data analysis, and highlight sharing products that assist coaches and athletes globally. In this role, the selected candidate will guide two established squads, direct high-impact initiatives leveraging deep learning and computer vision at scale, and deliver automated game data, event detection, and player tracking…
Job Description
Hudl seeks an Engineering Manager for its Applied Machine Learning team to oversee squads focused on American football and ice hockey. The company develops video capture, data analysis, and highlight sharing products that assist coaches and athletes globally. In this role, the selected candidate will guide two established squads, direct high-impact initiatives leveraging deep learning and computer vision at scale, and deliver automated game data, event detection, and player tracking insights for both real-time game situations and post-game reviews.
This position requires leadership across both data science and engineering domains, maintaining model accuracy across diverse camera footage, and balancing execution speed, model precision, and cloud infrastructure expenses. The manager will collaborate closely with product stakeholders and cross-functional leaders to align roadmap priorities. Hudl expects candidates to be within commuting distance of London for regular in-office collaboration, though remote applicants based in the United Kingdom are also considered.
Responsibilities
- Manage members across two established squads to achieve quarterly objectives and resolve uncertainties
- Engage stakeholders to establish priorities for high-impact deliverables
- Set high standards across engineering and data science disciplines while balancing model precision, execution speed, and cloud infrastructure costs
- Lead teams to sustain model accuracy across varied real-world camera footage and environmental conditions
- Partner closely with product stakeholders, cross-functional partners, and leaders to align roadmap priorities and manage dependencies
- Cultivate a supportive and high-performing environment that fosters professional growth and operational success
Requirements
- Experience managing teams of individual contributors, including engineers and data scientists
- Background in building and deploying production-scale machine learning systems and computer vision models
- Ability to advance data science modeling while constructing scalable software with attention to system efficiency, speed, and cost
- Strong communication skills with the ability to explain complex technical trade-offs and build relationships with cross-functional partners
Qualifications
- Experience applying artificial intelligence, machine learning, or computer vision to sports performance or analytics
- Experience building or fine-tuning real-time data processing pipelines or high-volume parallel cloud workloads
Core Skills
Benefits
- Flexible vacation time that exceeds statutory leave requirements
- Company-wide holidays and meeting-free timeout days
- Remote work options
- Resources and opportunities for professional development and career growth
- Necessary technology provided for work
- Medical and retirement benefits dependent on location
- Employee Assistance Program and employee resource groups for mental health support
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
What is the location policy for this Engineering Manager role?
Applicants are considered within commuting distance of London for regular in-office collaboration, with an expectation to work more days in the office than remotely. Remote candidates based in the United Kingdom are also considered.
What team will this Engineering Manager lead?
The manager will lead the Applied Machine Learning team across squads focused on American football and ice hockey.
What are the primary technical expectations for the role?
Candidates must have experience managing engineers and data scientists, building production AI/ML and computer vision systems at scale, balancing modeling with scalable software engineering, and communicating complex technical trade-offs.
Is the salary specified in the job posting?
No, the salary is not stated in the posting.
Sample Interview Questions
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